جست‌وجوی استاد و پژوهشگر

Graham Kirbyمشاهده پروفایل

استاد

• Record Linkage
• Distributed Systems
• Historical Records
• +۵ مورد دیگر

Prof Graham Kirby is a Professor in the School of Computer Science at the University of St Andrews. He has held roles such as Adviser of Studies, Admissions Officer, and Director of Teaching within the School, along with senior faculty roles like Associate Dean Students (2016–2022) and Acting Dean of Science (2019). He holds a PhD and BSc in Computer Science from the University of St Andrews. His research focuses on record linkage, distributed systems, and historical data integration, particularly through projects like the ESRC-funded Digitising Scotland initiative. Key areas include synthetic population data generation, genealogical record linking, and autonomic management of distributed systems. He has supervised numerous PhD and master’s students in these domains. Teaching includes courses on Object-Oriented Programming (CS1002) and Software Quality (CS5035). His work spans interdisciplinary projects with institutions like Edinburgh University and ANU, addressing challenges in data linkage and historical records. Notable publications include advancements in graph database applications for population linkage and studies on gender disparities in vocational interests among Scottish youth. His contributions to academic policy and internationalization are highlighted in thematic peer group reports.

• Computer Vision
• Machine Learning
• Cognitive Robotics
• +۳ مورد دیگر

Dr. Kasim Terzic is a Lecturer at the School of Computer Science, University of St Andrews. He is affiliated with the Centre for Research into Ecological & Environmental Modelling and the Coastal Resources Management Group. His research focuses on computer vision, machine learning, cognitive robotics, and their applications in ecology and conservation. He also promotes open-source software solutions. Terzic holds a PhD in Computer Science from the University of Hamburg and has taught modules such as Computer Graphics and Machine Learning. He currently supervises four PhD students and serves as an External Examiner at Robert Gordon University. Education Background: PhD in Computer Science, University of Hamburg MSc in Information and Communication Systems, Hamburg University of Technology MSc in Global Technology Management, Hamburg University of Technology BEng (Hons) in Electronic Engineering, University of East Anglia Research Interests: Terzic’s work bridges computer vision with ecological conservation, developing algorithms for image analysis, robotic manipulation of deformable objects, and active vision systems. He emphasizes interdisciplinary approaches, combining AI with ecological monitoring and open-source technologies to enhance accessibility. His projects include fish scale circuli detection, robotic towel manipulation, and individual re-identification in wildlife populations. Advising & Grants: Supervises four PhD students and actively contributes to academic activities, including organizing public events like Doors Open @ Computer Science. His research has been published in venues like Sensors, Biology Methods and Protocols, and IEEE conferences. Labs/Teams: Collaborates with the Centre for Research into Ecological & Environmental Modelling and Coastal Resources Management Group, focusing on applying AI to environmental challenges.

Paula A. Harrisonمشاهده پروفایل

استاد

• Climate Change
• Ecosystem Services
• Environmental Modelling
• +۳ مورد دیگر

Prof. Paula A. Harrison is a Principal Natural Capital Scientist and Professor of Land and Water Modelling at the UK Centre for Ecology & Hydrology (UKCEH) in Lancaster. She co-directs the Centre for Excellence in Environmental Data Science, a collaboration between UKCEH and Lancaster University. Her expertise lies in integrated modelling, scenarios, and participatory approaches for evidence-based decision-making. She holds a BSc in Statistics and Geography from the University of Salford, an MSc in Operational Research from Lancaster University, and a DPhil in Environmental Science from the University of Oxford. Her research focuses on climate change impacts, ecosystem services, and sustainability, with over 150 peer-reviewed publications. She leads interdisciplinary projects such as the ERAMMP Integrated Modelling Platform for the Welsh Government and the global FABLE consortium. She co-chairs the IPBES Nexus Assessment on biodiversity, water, food, health, and climate change (2021–2024). Her work emphasizes cross-sectoral interactions in climate modelling and the development of the Nature Futures Framework. Recent projects include analyzing land-use pathways for Wales and improving regional climate scenario applicability through participatory design. She contributes to global initiatives like the Food, Agriculture, Biodiversity, Land-use, and Energy (FABLE) consortium. Awards and recognition: While no specific awards are listed, her international leadership in environmental modelling and policy reflects significant professional recognition. Her work informs policy at national and global scales through platforms like IPBES. Grants and advising: She leads major grants including ERAMMP and FABLE, focusing on integrating environmental data for policy. Her advisory roles include IPBES Task Forces and co-chairing assessments with UN bodies. She collaborates with institutions like the University of Oxford, Lancaster University, and international consortia. Labs/teams: She directs UKCEH’s Land and Water Modelling team and is part of the Centre for Excellence in Environmental Data Science. Her work involves interdisciplinary teams across ecology, hydrology, and computational modelling.

AJ (Ad) Feeldersمشاهده پروفایل

دانشیار

• Data Mining
• Machine Learning
• Applied Data Science
• +۵ مورد دیگر

Dr. AJ (Ad) Feelders is an Associate Professor at Utrecht University, affiliated with the Department of Information and Computing Sciences within the Faculty of Science. His primary research focuses on Data Mining, Machine Learning, and Applied Data Science, with a particular emphasis on algorithmic data analysis and fraud detection. He has organized major conferences like the Symposium on Intelligent Data Analysis (IDA 2020) and contributed to editorial roles for journals such as Intelligent Systems in Accounting, Finance & Management . Roles: Associate Professor, Department of Information and Computing Sciences Affiliations: Utrecht University, Faculty of Science His research spans diverse applications, including renewable energy analysis, Bayesian networks, and time series forecasting. Notable projects include developing methods for detecting critical events in energy production and creating graph embeddings for historical data analysis. He has also worked on fraud detection in international shipping and real-time outlier detection in water sensor data. Feelders has authored or co-authored over 80 publications, including influential works on exceptional model mining, isotonic regression, and monotonic classification. His contributions bridge theoretical advancements with practical applications in domains like environmental science, healthcare, and digital humanities.

Mathieu Barthetمشاهده پروفایل

مدرس ارشد

• Music Information Retrieval
• Human-Computer Interaction
• Affective Computing
• +۵ مورد دیگر

Dr. Mathieu Barthet is a Senior Lecturer in Digital Media at Queen Mary University of London (School of Electronic Engineering and Computer Science). He leads research in Music Information Retrieval, Affective Computing, and Extended Reality (XR), with a focus on AI-driven musical interfaces and human-computer interaction. His work spans music emotion recognition, smart instruments, and participatory music systems. Education: MSc in Electronics & Computer Science (Paris VI University/Ecole Polytechnique de Montréal) MSc in Acoustics (Aix-Marseille II University/Ecole Centrale Marseille) PhD in Acoustics, Signal Processing & Computer Science applied to Music (Aix-Marseille II University/CNRS-LMA) Research: Over 100 peer-reviewed publications in fields like audiovisual interfaces, music recommendation, and AI ethics Key projects include the Internet of Musical Things (IoMT), AudioCommons, and mood-driven interactive systems Develops tools for music production collaboration (e.g., Open Symphony, Playsound.space) Grants & Collaborations: Lead on EU Horizon 2020 grants (IoMT, AudioCommons) Co-director of the EPSRC Centre for Doctoral Training in AI & Music Industry partnerships with companies like Music Tribe and Innovate UK Labs & Teams: Member of the Centre for Multimodal AI Conducts research through the Digital Music Lab (DML) initiative

Stefan Posladمشاهده پروفایل

مدرس ارشد

• Internet of Things (IoT)
• Ubiquitous Computing
• Artificial Intelligence
• +۳ مورد دیگر

Dr. Stefan Poslad is a Senior Lecturer in the School of Electronic Engineering and Computer Science at Queen Mary University of London (QMUL), affiliated with the Centre for Multimodal AI and IoT2US Lab. He specializes in IoT, Ubiquitous Computing, and Artificial Intelligence, focusing on smart devices, distributed systems security, and human-centric technologies. His teaching includes modules like Introduction to IoT and Mobile Services, emphasizing hands-on experience with system architectures and middleware. Research interests span IoT applications, pervasive computing, and privacy-preserving technologies. Notable projects include developing localization systems (e.g., ARLO, BEV-Locator) and health monitoring frameworks using UWB and radar sensors. He has contributed to urban mobility studies, environmental sensing, and wearable technologies, such as soft tactile displays using electroactive polymers. Poslad has received recognition as an Alan Turing Fellow and ranks among the top 2% of global scientists. His work integrates AI, IoT, and cybersecurity to address real-world challenges like smart cities and healthcare. He leads the IoT2US Lab, fostering interdisciplinary research on ubiquitous computing and its societal impacts.

• Engineering Education
• Telecommunications
• Control Systems
• +۱ مورد دیگر

Dr. Tijana Timotijevic is a Senior Lecturer at Queen Mary University of London's School of Electronic Engineering and Computer Science. She specializes in control systems, telecommunications, and engineering education innovation. Her teaching spans undergraduate and postgraduate courses in control systems, electric/magnetic fields, and electronic devices. She holds a PhD in Telecommunications and an MSc in Biomedical Engineering. Current research focuses on enhancing engineering education outcomes, alongside prior work in telecommunications and network performance. Education qualifications include BEng (Hons), PhD (Telecommunications, 1999), and MSc (Biomedical Engineering, 2007). Her publications (2000–2013) address sensor networks, motion capture, QoS in packet networks, and satellite communication systems. She advises on improving student learning methodologies and contributes to curriculum development. Office hours are Tuesday 09:00-10:30 in Eng E302.

Josef Kittlerمشاهده پروفایل

استاد

• Pattern Recognition
• Computer Vision
• Image Analysis
• +۵ مورد دیگر

Josef Kittler is a Professor at the University of Surrey, affiliated with the School of Computer Science and Electronic Engineering and the Centre for Vision, Speech and Signal Processing (CVSSP). He holds editorial roles in journals like IEEE Transactions on Pattern Analysis and Machine Intelligence and serves on the IAPR's KS Fu Prize Committee. His research focuses on pattern recognition, computer vision, and applications in system identification, medical diagnosis (ECG), and automatic inspection. He has received prestigious awards, including the Honorary Medal from the Czech Technical University. His work spans theoretical advancements and practical implementations, with notable contributions to multimodal tracking, deep learning, and fusion techniques. Education & Roles: Research Assistant, Engineering Department, University of Cambridge (1973–75) SERC Research Fellow, University of Southampton (1975–77) Royal Society European Research Fellow, Paris (1977–78) IBM Research Fellow, Balliol College, Oxford (1978–80) Principal Research Associate/Scientific Officer, Rutherford Appleton Laboratory (1980–85) Research Interests: Kittler's work emphasizes theoretical and applied aspects of pattern recognition, including computer vision applications in security, healthcare, and robotics. His recent publications address challenges in multimodal tracking, self-supervised learning, and fusion algorithms. Awards: Best Paper Awards from Pattern Recognition Society, British Machine Vision Association, and IEE Honorary Medal (Czech Technical University, 1995) Advising & Grants: While specific student/advisor details aren’t listed, his leadership in CVSSP and editorial roles indicates extensive mentorship and collaborative projects. His research has been supported by grants enabling advancements in AI and computer vision. Labs & Teams: He leads the CVSSP, a world-renowned center for vision, speech, and signal processing research, fostering interdisciplinary projects in AI and multimedia systems.

Zhili Sunمشاهده پروفایل

استاد

• Satellite Communications and Networks
• Internet Architecture and Protocols
• Mobile and Wireless Communications
• +۴ مورد دیگر

Professor Zhili Sun is a Chair Professor of Communication Networking and PGR Director at the Institute for Communication Systems (ICS) within the School of Computer Science and Electronic Engineering at the University of Surrey. He holds a BSc in Mathematics from Nanjing University (1982) and a PhD in Computer Science from Lancaster University (1991). His primary research focuses on satellite communications, internet architecture, network security, and quality of service (QoS), with notable contributions to 6G networks, space-air-ground integration, and resilient communication systems. He teaches courses on satellite communications and contributes to interdisciplinary research in mobile networks and IoT security. His research areas include IP networking protocols, satellite communication systems, network traffic engineering, and cybersecurity. Recent publications highlight advancements in 6G technologies, federated learning for IoT security, and resilient satellite networks. He has supervised numerous postgraduate students and led initiatives in integrating terrestrial and satellite networks. His work often addresses challenges in dynamic environments, such as cislunar communication and vehicular networks. Professor Sun’s publications span prestigious journals and conferences, emphasizing practical solutions for next-generation communication systems. His contributions are recognized through roles in editorial boards and international collaborations. Despite no explicitly stated awards, his academic leadership and prolific research output underscore his influence in the field.

Paul Patrasمشاهده پروفایل

استاد

• Artificial Intelligence
• Network Traffic Analytics
• Network Security & Privacy
• +۴ مورد دیگر

Paul Patras is a Professor of Mobile Intelligence at the University of Edinburgh's School of Informatics, leading the Mobile Intelligence Lab and affiliated with the Institute for Computing Systems Architecture (ICSA) and Security & Privacy group. He co-founded Net AI, a university spin-off advancing AI-driven network management. His expertise spans AI for network traffic analytics, security, and biomedical innovation. He holds a Ph.D. from University Carlos III of Madrid and has held visiting roles at institutions like Northeastern University and Rice University. Research focuses on bridging mathematical models with real-world network applications, including high-speed data stream processing and adversarial robustness. Recent work includes Stable-Sketch for web-scale data streams and Sabre for adversarial noise filtering. Awards include the SICSA Best Dissertation Award (2024, student Alec Diallo) and a best paper award at WWW '24 (with Weihe Li). Advising includes PhD students like Weihe Li and postdocs like Alec Diallo. He has supervised numerous students in areas like network security and machine learning. His labs and collaborations drive innovation in 6G, edge computing, and AI ethics. He frequently speaks at global forums, including the UN's AI for Good Summit and 6G Evolution Summit.

• Theoretical Physics
• Quantum Chromodynamics
• Lattice Gauge Theories
• +۳ مورد دیگر

Professor B. Lucini is a leading academic in theoretical physics at Swansea University, holding the role of Professor since 2011. He previously served as Head of the Mathematics Department (2015–2020) and Deputy Head (Research) of the College of Science (2015–2015). His research focuses on lattice gauge theories, large-N scaling, and applications of machine learning to phase transitions. He has secured significant grants, including £612,000 for the Accelerate AI project and a Wolfson Research Merit Award (£75,000). His work spans computational methods in quantum chromodynamics (QCD), with contributions to understanding confinement mechanisms and non-perturbative phenomena. Notable presentations include lectures at the British University Summer School in Particle Physics and collaborations with institutions like CERN and IBM Watson Research Centre. He actively engages in public outreach through events like the Swansea Science Festival and BBC Science Cafe. Key roles include Technical Director of the UKRI AI CDT (2019–2020) and membership in the DiRAC Technical Directorate. His research also explores mass-deformed IR conformal gauge theories and bulk phase transitions in SU(2) models. Awards include the Royal Society University Research Fellowship (£626,041).

• Artificial Intelligence
• Fuzzy Logic
• Robotics and Automation
• +۷ مورد دیگر

Dr. Raheleh Jafari is a University Academic Fellow in Artificial Intelligence Technology in Fashion Design at the University of Leeds' School of Design. Her expertise spans artificial intelligence, fuzzy logic, robotics/automation, and fashion design. She holds a B.S. in Pure Mathematics (2008) from Islamic Azad University, an M.S. in Applied Mathematics (2010), and a Ph.D. in Automatic Control (2017) from the National Polytechnic Institute (Mexico). She completed a postdoctoral fellowship at the University of Agder, Norway (2017–2019). Her research focuses on AI-driven solutions for pipeline systems, medical imaging, and industrial automation. She has published over 70 peer-reviewed papers and authored a book on fuzzy logic systems (2019). She is an IEEE member, served on editorial boards, and organized conferences. Key projects include applying AI to social health bots (Norway RC grant) and developing intelligent techniques for fluid mechanics. Her work bridges engineering and design, with applications in sustainable systems, medical diagnostics, and fashion technology. Awards include a 2019 Travel Award from Electronics-MDPI Journal. She advises postgraduate researchers and collaborates on interdisciplinary innovations.

• Spectral Graph Theory
• Complex Networks
• Machine Learning
• +۳ مورد دیگر

Furqan Aziz is a Lecturer in the School of Computing and Mathematical Sciences at the University of Leicester since 2022. Previously, he served as a Research Fellow at the Institute of Cancer and Genomic Sciences, University of Birmingham. He holds a Ph.D. in Computer Science from the University of York, UK, focusing on interdisciplinary research. His research interests include Spectral Graph Theory, Complex Networks, Machine Learning, and Bioinformatics. He applies these techniques in healthcare informatics, network analysis, and computational biology. Notably, his work explores disease phenotype modeling, multimorbidity prediction, and drug response analysis using machine learning. Recent publications highlight trends in network science applications, including link prediction, graph characterization, and predictive modeling in healthcare. His bioinformatics research bridges computational methods with medical data analysis, addressing challenges in personalized medicine and public health surveillance. No awards or grants are explicitly listed in his profile. He currently advises students in computational science and mathematical modeling, though specific advisee names are not provided. His work spans collaborations in academia and industry, emphasizing interdisciplinary problem-solving.

Tanya Vladimirovaمشاهده پروفایل

استاد

• Embedded Systems
• Artificial Intelligence
• Space Systems Engineering
• +۵ مورد دیگر

Professor Tanya Vladimirova is a Professor of Electronic and Computer Systems Engineering at the University of Leicester, affiliated with the School of Engineering's Mathematical Sciences department. Her research focuses on custom computing for edge intelligence, embedded systems design, and space-based applications. She pioneered innovations in satellite computing systems, including reconfigurable on-board computers, fault-tolerant designs, and FPGA-accelerated image processing. Her work integrates AI, digital signal processing, and hardware acceleration for applications in autonomous vehicles, spacecraft, and IoT. Key achievements include the first FPGA-based on-board hyperspectral image compression systems, fault-tolerant distributed computing frameworks for satellites, and self-healing distributed intra-satellite systems. Current projects explore machine learning for satellite reliability and autonomous vehicle vision systems. Prior to Leicester, she led a globally recognized group at the Surrey Space Centre, collaborating with Surrey Satellite Technology Limited (SSTL). Her research spans satellite miniaturization, wireless sensor networks for planetary exploration, and radiation-hardened computing. Her publications address challenges in satellite data processing, fault tolerance, and embedded AI. Notable contributions include novel algorithms for landmine detection, radiation mitigation strategies for FPGAs, and adaptive middleware for distributed space systems. Her work bridges theoretical computing with practical aerospace engineering, emphasizing resilience and efficiency in hostile environments.

Iqbal Owadallyمشاهده پروفایل

استاد

• Actuarial Science
• Actuarial Statistics
• Investment Management
• +۱۹ مورد دیگر

Dr. Iqbal Owadally is a Reader in Actuarial Science at the Bayes Business School , City, University of London , where he has been a faculty member since 2000, progressing from Lecturer to Senior Lecturer. He is actively engaged in research, teaching, and academic leadership within the Faculty of Actuarial Science and Insurance. Education: PhD, City, University of London MSc, City, University of London MA, University of Cambridge Diploma in Actuarial Techniques, Institute and Faculty of Actuaries Diploma in Modern Languages Fellowship of the Higher Education Academy Research Interests: Dr. Owadally’s work focuses on actuarial science, financial economics, pension funding, portfolio optimization, stochastic modeling, agent-based modeling, and time series analysis . He explores risk measurement, long-term savings, sustainable investment, and retirement planning, often integrating computational and statistical methods to model complex financial and insurance systems. Publication Trends: His recent work (2018–2025) emphasizes life-cycle modeling, retirement investment strategies, deferred annuities, sustainable investing , and agent-based simulations of insurance markets . There is a strong focus on data mining, mortality projection, and behavioral aspects of financial decision-making , reflecting an interdisciplinary approach combining actuarial rigor with computational and economic insights. Scientific Awards and Grants: £4000 Grant from City University (2010) for teaching innovation Nominated for Student Voice Award (2010) Grants from the Bank of England and the Society of Actuaries Advising and Leadership: Dr. Owadally has supervised multiple PhD students including Andrea Buffoli, Chul Jang, Feng Zhou, Denise Gomez-Hernandez, and Bernard Ngwira . He has held leadership roles such as MSc Course Director and Admissions Tutor. He serves as an Associate Editor for the International Journal of Finance and Economics and has refereed for numerous top journals in actuarial science and finance. He was a Guest Scholar at the IMT Institute of Advanced Studies, Lucca, Italy until 2016. Laboratories and Research Teams: His research is associated with interdisciplinary teams working on complexity economics, agent-based modeling, and financial stability , often in collaboration with institutions like the Bank of England and international actuarial bodies.